Alternatives
Products that do what Zerobillbot does
Know the cost before you merge
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Track your AI spend and connect it to business outcomes
Aug 2026 · rippling.com
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Hi HN! For the past bit we’ve been building Flowglad (https://flowglad.com) and can now feel it’s just gotten good enough to share with you all: Repo: https://github.com/flowglad/flowglad Demo video: https://www.youtube.com/watch?v=G6H0c1Cd2kU Flowglad is a payment processor that you integrate without writing any glue code. Along with processing your payments, it tells you in real time the features and usage credit balances that your customers have available to you based on their billing state. The DX feels like React, because we wanted to bring…
Nov 2025 · github.com
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Hey folks, my name is Owen and I recently started working at a startup (https://infracost.io/) that shows engineers how much their code changes are going to cost on the cloud before being deployed (in CI/CD like GitHub or GitLab). Previously, I was one of the founders of tfsec (it scanned code for security issues). One of the things I learnt was if we catch issues early, i.e. when the engineer was typing their code, we save a bunch of time. I was thinking … okay, why not build cloud costs into the code editor. Show the cloud cost impact of the code as the engineers are…
2024
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Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.
Jun 2026 · clevercrow.io
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Feb 2026 · blog.rbby.dev
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Hey folks, I’m Hassan, one of the co-founders of Infracost (https://www.infracost.io). Infracost helps engineers see and reduce the cloud cost of each infrastructure change before they merge their code. The way Infracost works is we gather pricing data from Amazon Web Services, Microsoft Azure and Google Cloud. What we call a ‘Pricing Service’, which now holds around 9 million live price points (!!). Then we map these prices to infrastructure code. Once the mapping is done, it enables us to show the cost impact of a code change before it is merged, directly in GitHub, GitLab etc.…
Jan 2026 · dashboard.infracost.io
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May 2026 · botcost.dev
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2018 · pubilling.io
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2021 · github.com
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Tl;dr: I trained a classifier to route to the least expensive model and reasoning depth to complete the request. Coupling that with additional automated token efficiency techniques has yielded 3x usage for the same spend. For anyone interested in trying it themselves: https://nerfguard.com Various teammates and I switched over to Codex from Claude Code recently. We still bounce between the tools, but Codex’s speed and steerability coupled with performance gains were hard to ignore. One of the downsides was that the per token pricing kicked in way sooner. This is happening across…
Jun 2026
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If you’re using Stripe for your SaaS product and if you have a usage based component in your pricing - this is for you. Aggregating usage data into a digestible format for Stripe is a monthly chore no one likes to do. - The computations are complex and ripe for errors - It’s repeated manual grunt work - having to aggregate and calculate usage for every customer every month - You’re restricted to the pricing models that your billing systems allows you to have This is what we solved with metering.ai. With metering.ai as a free add-on to your existing billing system, you can meter your…
2023 · metering.ai
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